'adsf'

app.py

@@ -20,29 +20,29 @@ with gr.Blocks() as demo:
 
     with gr.Column():
         gr.Label("Today's passenger")
-        input_img = gr.Image("latest_survivor_pred.png",
+        input_img = gr.Image("latest_survivor_pred_synthetic.png",
                              elem_id="passenger-img").style(
             height='100', rounded=False)
         with gr.Row():
             with gr.Column():
                 gr.Label("Today's predicted survival")
                 input_img = gr.Image(
-                    "latest_survivor_label_pred.png", elem_id="predicted-img").style(
+                    "latest_survivor_label_pred_synthetic.png", elem_id="predicted-img").style(
                     height='100', rounded=False)
             with gr.Column():
                 gr.Label("Today's actual survival")
                 input_img = gr.Image(
-                    "latest_survivor_label_actual.png", elem_id="actual-img").style(
+                    "latest_survivor_label_actual_synthetic.png", elem_id="actual-img").style(
                     height='100', rounded=False)
         with gr.Row():
             with gr.Column():
                 gr.Label("Recent Prediction History")
                 input_img = gr.Image(
-                    "df_recent_titanic.png", elem_id="recent-predictions")
+                    "df_recent_titanic_synthetic.png", elem_id="recent-predictions")
             with gr.Column():
                 gr.Label(
                     "Confusion Maxtrix with Historical Prediction Performance")
-                input_img = gr.Image("confusion_matrix.png",
+                input_img = gr.Image("confusion_matrix_synthetic.png",
                                      elem_id="confusion-matrix")
 
 demo.launch()